aktools: HTTP API and MCP server for AKShare: fetch financial data from any programming language or AI assistant

by akfamily · MCP Server · ★ 1.6k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install aktools

pip install aktools
claude mcp add aktools -- uvx --from aktools aktools-mcp

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentakshareclaudedata-sciencefastapifinancial-datahttp-apimcpmcp-servermodel-context-protocol

Quick Facts

Stars1,557
Forks250
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score66/100
Last Updated2026-11-06
Created2019-12-17
Platformsclaude-code, mcp, python
Est. Tokens~16k

About aktools

AKTools AKTools exposes AKShare's financial data as an HTTP API and an MCP server, so you can fetch it from any programming language or AI assistant. [![GitHub forks](https://img.shields.io/github/forks/akfamily/ak

Compatible Skills

These tools work well together with aktools for enhanced workflows:

  • data2story-skill — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • skills — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • a-stock-data — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (59%)
  • DeepEye — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • digital-oracle — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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